MARC details
| 000 -LEADER |
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| fixed length control field |
02165nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220228154347.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220228b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9788120351882 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
006.312 |
| Item number |
EAG |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Eagle, Nathan |
| 245 ## - TITLE STATEMENT |
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| Title |
Reality mining: using big data to engineer a better world |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc. |
PHI Learning Pvt. Ltd. |
| Place of publication, distribution, etc. |
New Delhi |
| Date of publication, distribution, etc. |
2014 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
vi, 199 p. |
| 365 ## - TRADE PRICE |
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| Price type code |
INR |
| Price amount |
595.00 |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc. |
A look at how Big Data can be put to positive use, from helping users break bad habits to tracking the global spread of disease.<br/><br/>Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data—surveillance, spying, hacking—has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data, showing the ways in which the analysis of Big Data (“Reality Mining”) can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy.<br/><br/>Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace “knowledge system”; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Big Data |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| Topical term or geographic name as entry element |
Data Mining |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Greene, Kate |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
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| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book |